ÇѱÛÁ¦¸ñ(Korean Title) |
ºÐ¾ß¿¬»ó¾î¸¦ ÀÌ¿ëÇÑ ÈÁ¦ÀÇ °è¼Ó¼º°ú Àüȯ¼ºÀ» ÃßÀûÇÏ´Â ´Ü¶ôºÐÇÒ ¹æ¹ý |
¿µ¹®Á¦¸ñ(English Title) |
Passage Retrieval based on Tracing Topic Continuity and Transition by Using Field-Associated Term |
ÀúÀÚ(Author) |
ÀÌ»ó°ï
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¿ø¹®¼ö·Ïó(Citation) |
VOL 10-B NO. 01 PP. 0057 ~ 0066 (2003. 02) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
We propose a technique to extract a relevant passage from text collection based on field-associated terms since they tries to concentrate relevant text to users query. Documents are supposed to be managed as a whole without any segmentation into small pieces, but the method presented is independent upon any text-embedded auxiliary information, and is based on topic continuity and transition. For users needs-relative sentences or passages, We present a passage retrieval techniques by using occurrence frequency of a field-associated term to delimit text, that is likely to be relevant to a particular topic, considering continuity and transition within topic flowing in text. We evaluate 50 Japanese documents and verify the usefulness with 82% for average precision and 63% for recall., |
Å°¿öµå(Keyword) |
Çѱ¹¾î Á¤º¸Ã³¸®
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Field Associated Term
ÈÁ¦ °è¼Ó¼º°ú Àüȯ¼º
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Passage Retrieval
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